Abstract
In this paper, we propose a team formation methodology based on cooperative learning teams, adopted from the area of educational research. Cooperative learning is a type of learning where students work in teams and learn through team-based interactions. In education, research in assigning students to appropriate teams and enforcing fair assessment of student performance in a team have generated useful policies and rules. In our multiagent systems project, we use these policies and rules as the underlying framework to evaluate and form teams. We have built a system called IMINDS as an infrastructure to support cooperative learning among remote and in-class students.
Original language | English (US) |
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Title of host publication | AAAI Workshop - Technical Report |
Pages | 37-44 |
Number of pages | 8 |
Volume | WS-04-06 |
State | Published - 2004 |
Event | 19th National Conference on Artificial Intelligence - San Jose, CA Duration: Jul 25 2004 → Jul 26 2004 |
Other
Other | 19th National Conference on Artificial Intelligence |
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City | San Jose, CA |
Period | 7/25/04 → 7/26/04 |
ASJC Scopus subject areas
- General Engineering